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Modular DSA/DAA competitive programming library with fuzzy doc lookup

Project description

pythonnn

Modular DSA/DAA library for competitive programming and coursework: graph/tree helpers, fast I/O, and a large doc() lookup for solutions, pseudocode, and MCQs.

Install

pip install pythonnn

Requires Python 3.6+ and networkx.

Quick start

import pythonnn
from pythonnn import doc, scan, GraphOps, TreeOps

# Print a solution (fuzzy name match)
doc("shell sort", "python")
doc("shell sort", "python_iteration")

# Pseudocode / theory
doc("radix sort", "theory")
doc("1.1", "theory")

# MCQs by topic
doc("", "mcq")
doc("matrix chain", "mcq")
doc("lcs", "mcq")

# Graph helper (NetworkX-backed)
g = GraphOps()
g.add(0, 1)
g.add(1, 2)
print(g.bfs(0))

doc() languages

Second argument Output
baby (default) Short / baby-friendly code
python Full Python solution
python_iteration Version that prints iteration steps (where available)
theory Pseudocode and exam notes
mcq Topic-wise MCQ questions and answers

Aliases and unit indices work (e.g. doc("4.12"), doc("kmp"), doc("6.69")).

Modules

  • pythonnn.docdoc() lookup (~300+ problems)
  • pythonnn.GraphOps / MatrixGraph — graph utilities
  • pythonnn.TreeOps / Node — tree utilities
  • pythonnn.Scanner — competitive-programming style input

License

MIT

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